{"id":"W4234693821","doi":"10.1108/s0275-495920180000036019","title":"Index","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health care; Family medicine; Gerontology; Demography; Political science; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001271026,0.001534226,0.001441306,0.005460422,0.002397637,0.0106319,0.002302567,0.002308152,0.7593856],"category_scores_gemma":[0.007022281,0.0005500726,0.001070467,0.007590822,0.0008348194,0.007407451,0.004009851,0.002311519,0.7607484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274163,"about_ca_system_score_gemma":0.002556306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003944088,"about_ca_topic_score_gemma":0.003942413,"domain_scores_codex":[0.998415,0.0001515432,0.0001554968,0.0002918646,0.0008399862,0.0001460798],"domain_scores_gemma":[0.9969599,0.0002583134,0.0001387571,0.0004588438,0.001699019,0.0004850523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009111866,0.00001515413,0.0001147147,0.0001686473,0.000002868694,0.00001793859,0.00003756257,0.00001759804,0.00008617926,0.002755067,0.9413254,0.05544971],"study_design_scores_gemma":[0.000002835008,0.000007169177,0.0002824953,0.0001103097,0.00000153777,0.00003204963,0.00004836258,0.00001787236,0.00003845291,0.001014201,0.9984397,0.000005028014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004046816,0.004494783,0.001403658,0.007105753,0.02861102,0.0003144935,0.01831657,0.002818142,0.9365308],"genre_scores_gemma":[0.001628794,0.003307312,0.0009259937,0.002741623,0.004193098,0.000185927,0.01265753,0.0009914431,0.9733682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2406144,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08132248354317663,"score_gpt":0.3961990925552964,"score_spread":0.3148766090121198,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}